Self-Learning Connected-Device Network

1. A system, comprising: a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: receiving sensor data captured via an Internet of things device operating in a mobility network and metadata about the Internet of things device, wherein the Internet of things device has coupled to network equipment, and wherein the metadata comprises first metadata representative of a sensor data collection capability of the Internet of things device and second metadata representative of a position of Internet of things device, instantiating a first object node as a virtualized network function in a first service slice enabled via the mobility network for validation of the sensor data, wherein the first object node is selected based on the metadata, assigning identifier data to the metadata, wherein the identifier data is associated with a category of first information used to tune a labeling process for the first object node and identify second information that is threshold likely to be of interest to a customer according to a defined likelihood criterion; validating the sensor data by employing the first object node to classify the sensor data based on the metadata and the second information of the identifier data that has been identified to be threshold likely to be of interest to the customer, wherein the first object node comprises a first layer used to classify the data received in the first service slice, and wherein subsequent object nodes after the first object node are able to be instantiated in successive service slices, other than the first network slice, enabled via the mobility network; and based on the validating, determining output data comprising the second information identified according to the defined likelihood criterion; and in response to determining that the first object node has not classified the sensor data in accordance with a defined success criterion, classifying the sensor data based on determined label for the sensor data.

2. The system of claim 1 , wherein the operations further comprise: determining historical data associated with the identifier data, wherein the historical data has been stored within a network data store, and wherein validating the sensor data comprises validating the sensor data based on the historical data.

3. The system of claim 2 , wherein determining the output data further comprises determining the output data based on the historical data.

4. The system of claim 1 , wherein the first service slice comprises a virtualized network function slice enabled via the mobility network, and wherein the virtualized network function slice was instantiated based on the metadata.

5. The system of claim 4 , wherein the metadata further comprises third metadata resulting from an operation of the Internet of things device.

6. The system of claim 1 , wherein the operations further comprise: in further response to determining that the first object node has not classified the sensor data in accordance with the defined success criterion, instantiating a second object node to classify the sensor data based on the determined label for the data.

7. The system of claim 1 , wherein determining the output data further comprises determining the output data based on the second metadata associated with the position of the Internet of things device.

8. The system of claim 1 , wherein the operations further comprise: employing feedback data associated with the output data to update the first object node.

9. The system of claim 1 , wherein the output data is provided to a network operations support system to facilitate a reduction in network congestion.

10. The system of claim 1 , wherein the output data is renderable via an application programming interface that is integrated into a customer application.

11. A method, comprising: receiving, by a system comprising a processor, sensor data that has been captured via an Internet of things device communicatively coupled to a mobility network and metadata about the Internet of things device, wherein the metadata comprises a sensor data collection capability of the Internet of things device and a location of Internet of things device; facilitating, by the system, instantiating a first object node as a virtualized network function in a first service slice of the mobility network usable to validate the sensor data, wherein the first object node is selected based on the metadata; assigning, by the system, identifier data to the metadata, wherein the identifier data is associated with a category of first information used to tune a labeling process for the first object node and identify second information likely to be of interest to a customer according to a defined likelihood criterion; validating, by the system, the sensor data by employing the first object node to classify the sensor data based on the metadata and the identifier data, wherein the first object node comprises a first layer used to classify the data received in the first service slice, and wherein subsequent object nodes are able to be instantiated in successive service slices of the mobility network; based on the validating, determining, by the system, output data comprising the second information identified according to the customer interest likelihood criterion; and in response to determining that the first object node has not classified the sensor data in accordance with a defined success criterion, classifying, by the system, the sensor data based on a determined label for the sensor data.

12. The method of claim 11 , further comprising: extracting, by the system, correlation information based on network information associated with a virtualized network function, and wherein the virtualized network function has been customized for a device category associated with the Internet of things device.

13. The method of claim 12 , further comprising: extracting, by the system, correlation information based on analytics data associated with the virtualized network function.

14. The method of claim 12 , further comprising: extracting, by the system, correlation information based on network traffic logs associated with the virtualized network function.

15. The method of claim 11 , further comprising: directing, by the system, the correlation information to a customer device via a cloud network associated with the customer.

16. The method of claim 11 , further comprising: extracting, by the system, correlation information based on network intelligence data stored within a network data store that is part of the mobility network.

17. The method of claim 11 , further comprising: extracting, by the system, correlation information based on the location of the Internet of things device.

18. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of control plane equipment, facilitate performance of operations, comprising: receiving sensor data captured via an Internet of things device that is coupled to network equipment via a mobility network; receiving metadata about the Internet of things device, wherein the metadata comprises first metadata indicative of a sensor data collection capability of the Internet of things device and second metadata indicative of a position of Internet of things device; assigning identifier data to the metadata, wherein the identifier data is associated with a category of first information used to tune a labeling process for the first object node and determine second information likely to be of interest to a customer according to a defined likelihood criterion; employing an instantiated object node of the network a virtualized network function in a first service slice of the mobility network to validate the sensor data based on the metadata and the identifier information, wherein the instantiated object node was selected based on the metadata, wherein the instantiated object node comprises a first layer used to classify the data received in the first service slice, and wherein subsequent object nodes are able to be instantiated in successive service slices of the mobility network; based on the validating, determining output data comprising the information according to the defined likelihood criterion; and in response to determining that the first object node has not classified the sensor data in accordance with a defined success criterion, classifying the sensor data based on a determined label for the sensor data.

19. The non-transitory machine-readable medium of claim 18 , wherein the operations further comprise: determining historical data associated with the identifier data, wherein validating the sensor data comprises validating the sensor data further based on the historical data.

20. The non-transitory machine-readable medium of claim 19 , wherein determining the output data comprises determining the output data further based on the historical data.